I have recently defended my dissertation at Nuclear Theory group at Stony Brook University. I am interested in high multiplicity particle collisions at LHC and RHIC, because they can create Quark Gluon Plasma — a new form of matter, where protons and neutrons melt into quarks and gluons. Astonishingly, these tiny droplets of matter interact so strongly, that they can be effectively described as a fluid — the perfect fluid. Understanding its properties, e.g. viscosity over entropy ratio, is the aim of my research.

I use both analytical and numerical tools for modeling heavy ion collisions. My advisor and I developed 3+1 viscous hydrodynamics code which is available to download at github

Aleksas Mazeliauskas

PhD, Nuclear Theory Group

Dept. of Physics & Astronomy

Stony Brook University

Stony Brook, NY 11794-3800

e-mail: aleksas.mazeliauskas at stonybrook.edu

Department of Physics and Astronomy

PhD in Physics• *2012 - 2017*

Advisor Derek Teaney

St Catharine's College

Master of Mathematics with distinction • *2011 - 2012*

BA (Hons) Mathematics, 1st class• *2008 - 2011*

TA and RA assistant• *2012 - Present*

David Fox Prize (2013) for Outstanting Teaching Assistant

My work is on initial stages and hydrodynamic evolution of heavy ion collisions. Click on figures below to find out more!

We develop a set of kinetic equations for hydrodynamic fluctuations which are equivalent to nonlinear hydrodynamics with noise. We use the hydro-kinetic equations to analyze thermal fluctuations for a Bjorken expansion, evaluating the contribution of thermal noise from the earliest moments and at late times.

NoiseWe use effective kinetic theory accurate in weak coupling to model system equilibration and smooth transition to hydrodynamics. We include two to two elastic gluon scatterings and one to two medium induced collinear splittings with LPM supression. We obtain Green functions for equilibration of small energy and momentum perturbations around far-from-equilibrium background.

Initial stagesPCA is a statistical technique allowing to decompose multidimensional data into most significant components. We show that the subleading elliptic flow in peripheral collisions is dominated by the nonlinear mixing between the leading elliptic flow and radial flow fluctuations.

Collective dynamicsPCA is a statistical technique allowing to decompose multidimensional data into most significant components. We show that just two such components are sufficient to describe full two particle correlation matrix and relate the subleading component to radial excitation of initial geometry as shown above.

Collective dynamics